{"id":"W82695829","doi":"10.1111/obes.12236","title":"Income Inequality and Saving","year":2018,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Economics; Inequality; Consumption (sociology); Economic inequality; Demographic economics; Income distribution; Distribution (mathematics); Econometrics; Percentage point; Aggregate (composite); Panel Study of Income Dynamics; Labour economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005383716,0.0001427746,0.0001504374,0.001315806,0.0004426181,0.0008819775,0.0001716781,0.0002428468,0.008023812],"category_scores_gemma":[0.003142792,0.00005557212,0.0001536734,0.001844996,0.0006516451,0.00063478,0.001018645,0.000552737,0.0005557662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783158,"about_ca_system_score_gemma":0.0002556923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006919706,"about_ca_topic_score_gemma":0.008204116,"domain_scores_codex":[0.9996531,0.000107644,0.00001848504,0.00004272688,0.00005479882,0.0001232842],"domain_scores_gemma":[0.9980197,0.0005538641,0.0008622255,0.00009102006,0.0002266428,0.0002465612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008966202,0.00007390627,0.9182526,0.0000655613,0.0001062183,0.0002814079,0.00118977,0.001817164,0.0001555904,0.03940198,0.006398074,0.03216803],"study_design_scores_gemma":[0.000003909231,0.00002672491,0.9689112,0.00009958233,0.00003100123,0.0001694731,0.001317728,0.001019305,0.0002043646,0.01673201,0.01147453,0.00001006134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187676,0.004274683,0.0007097,0.005781793,0.00008321772,0.00001168111,0.002709073,0.00002025001,0.06764202],"genre_scores_gemma":[0.9978871,0.0005932575,0.00005377916,0.00008568997,0.00003920166,0.000003553861,0.0003284156,0.000002229397,0.001006792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008023812,"threshold_uncertainty_score":0.0268423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952122487809466,"score_gpt":0.2881571253979465,"score_spread":0.2586359005198518,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}